Data processing learning method and system, and electronic device
A technology of data processing and learning methods, applied in the field of data processing, can solve problems such as reducing the efficiency of the learning process
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Embodiment 1
[0045] In the data processing and learning method provided by the embodiment of the present invention, the process of data processing may be a process of recognizing objects in an image. Such as figure 1 shown, including:
[0046] S11: Perform initial data processing on the first target data to obtain feature data;
[0047] As another implementation manner of this embodiment, elements and features in the image may be extracted from the first target data according to the data processing model to obtain feature data.
[0048] S12: Divide each data type in the characteristic data into multiple data sets through a clustering algorithm;
[0049] S13: Calculate the characteristic data density in each data set to obtain a density value;
[0050] S14: Sorting multiple data sets according to the density value to obtain the maximum density value data set;
[0051] S15: Form a data processing model according to the maximum density value data set in each data type.
[0052] Wherein, ...
Embodiment 2
[0055] In the data processing and learning method provided by the embodiment of the present invention, the data processing process may also be a process of recognizing objects in an image. Such as figure 2 shown, including:
[0056] S21: Perform feature extraction on the first target data according to the data processing model to obtain feature data.
[0057] Specifically, elements and features in the image may also be extracted from the first target data according to the data processing model to obtain feature data.
[0058] S22: Divide the characteristic data into several data types through a clustering algorithm, and divide the characteristic data in each data type into multiple data sets.
[0059] S23: Calculate the characteristic data density in each data set to obtain a density value;
[0060] S24: Sorting the multiple data sets from large to small according to the density values to obtain the maximum density value data set.
[0061] S25: Combine the maximum densi...
Embodiment 3
[0067] A data processing and learning system provided by an embodiment of the present invention, such as image 3 As shown, the data processing learning system 3 may include: an initial processing module 31 , a clustering module 32 , a density calculation module 33 , a density sorting module 34 and a model forming module 35 .
[0068] As a preferred solution, the initial processing module 31 may be used to perform initial data processing on the first target data to obtain feature data. The clustering module 32 can be used to divide each data type in the feature data into multiple data sets through a clustering algorithm.
[0069] Furthermore, the density calculation module 33 can be used to calculate the characteristic data density in each data set to obtain a density value. The density sorting module 34 can be used for sorting a plurality of data sets according to the density value to obtain the maximum density value data set;
[0070] In practical applications, the model f...
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